Machine Learning Platform Engineer - Backend Services

ABOUT THIS POSITION Machine Learning Platform Engineer - Backend ServicesWe are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.WHAT YOU'LL DO Responsibilities:Develop and enhance the machine learning platform to manage the full model life cycleBuild frameworks and tools to enable the data science team developing and enhancinge predictive model support scalable real-time predictions in productionDesign and implement data engineering solutions for model trainingExpand NLP capabilities with advanced analysis techniques to improve text understandingDesign and implement high-performance, scalable services and applicationsCollaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentationUnderstand and adhere to development standards for consistency across teamsPerform in-depth technical and performance analyses to troubleshoot production issuesMonitor and maintain production systems for reliability and efficiencyWHAT YOU'LL NEED What You’ll Need Minimum Requirements (Education, certifications and experience):Bachelor’s degree in Computer Science or related area3+ years of professional experience writing Python or Java codeIntermediate proficiency with SQLExperience with CI/CD and automated testingComfort working in a Linux environmentPassion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processingProfessional experience with Docker, Kubernetes, relational databases (PostgreSQL preferred), REST API design, and microservices application architecturesExperience with public cloud solutions, such as AWS or GCPTeam player DNA with a positive, self-starter attitudeAttention to detail, highly organized, with an absolute focus on quality of workPreferred Requirements:Professional experience with MLOps, KafkaFamiliarity with ClearML, Triton, PyTorch, and TensorFlowFamiliarity with statistics and healthcare domainProven expertise in successful large project/build management and executionDemonstrated ability to manage multiple work streams simultaneously and efficientlyABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (https://twitter.com/Waystar) on Twitter.WAYSTAR PERKSCompetitive total rewards (base salary + bonus, if applicable)Customizable benefits package (3 medical plans with Health Saving Account company match)We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidaysPaid parental leave (including maternity + paternity leave)Education assistance opportunities and free LinkedIn Learning accessFree mental health and family planning programs, including adoption assistance and fertility support401(K) program with company matchPet insuranceEmployee resource groupsWaystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.Job Category:Technology/EngineeringJob Type:Full timeReq ID:R2863#J-18808-Ljbffr